Table 6 Best configuration achieved for a reduction of 75 and 50% memory requirements using McCane and Otte&Nagel metric
From: Multi-GPU based on multicriteria optimization for motion estimation system
Error metric | Benchmark | Memory | MEtime | Accuracy |
|---|---|---|---|---|
(Δ ψ) | ||||
Barron | ‘Translating tree’ | 50% | 28.6% | −0.13 |
‘Diverging tree’ | 75% | 50.0% | 0.00 | |
50% | 33.3% | 0.05 | ||
McCaneA | ‘Translating tree’ | 50% | 26.9% | −0.12 |
‘Diverging tree’ | 75% | 49.1% | 0.00 | |
50% | 28.9% | 0.05 | ||
McCaneB | ‘Translating tree’ | 50% | 29.6% | −0.11 |
‘Diverging tree’ | 75% | 49.2% | 0.00 | |
50% | 34.5% | 0.09 | ||
Otte&Nagel | ‘Translating tree’ | 50% | 25.3% | −0.21 |
‘Diverging tree’ | 75% | 49.1% | 0.00 | |
50% | 35.7% | 0.12 |